Integration of the bands of ASTER, OLI, MSI remote sensing sensors for detection of hydrothermal alterations in southwestern area of the Ardestan, Isfahan Province, Central Iran

Abstract

This paper reviews the band's integration of three remote sensing sensors for improving the detecting of hydrothermal alterations. The distinguishing feature of the various minerals has always been the challenge of Multispectral sensors due to the band's limitation. On the other hand, accessibility to Hyperspectral data requires paying a high cost. Also, the narrower bands in such data and the absence of suitable data to atmospheric correction can cause more errors. So, we hope that providing more bands by this method can detect hydrothermal alteration zones correctly. The integration method acts based on the spectral offset correction on the reflectance data of the images in a log–log plot. The data include bands of ASTER, MSI, and OLI sensors in the SWIR spectral region that are converted to reflectance by 6S atmospheric correction. For the spectral method of mineral detection, we have chosen the Spectral Angle Mapper (SAM) technique. This is a powerful classification to represses the influences of shading, solar illumination, and Albedo effects.Also, we benefit from the Concentration-Area(C-A) fractal model for specifying the range of thresholds. This review emphasizes that although the integration band method can lead to the detection of minerals in hydrothermal alterations, more investigation is still needed to achieve better results because it is unsuccessful to the identification of minerals which lacking the specific spectrum peak in the range of central wavelengths of the integrated bands.

Keywords

• Sentinel-2
• Landsat-8
• ASTER
• Fractal model
• Hydrothermal alteration
• Spectral angle mapper